{"title":"印度奥里萨邦农业供应链风险排名的SWARA方法","authors":"Debesh Mishra, S. Satapathy","doi":"10.1504/IJIDS.2021.113597","DOIUrl":null,"url":null,"abstract":"Disruptions in supply chain process could have negative effects on firms' performance and if the highly influential risks factors involved in disruptions of the supply chain are ranked and mitigated properly based on their importance, then those disruptions could be well managed. In order to assist the decision-makers and other managers to take appropriate decision, this study provides the ranking of the risks in agricultural supply chain of Odisha in India using the step-wise weight assessment ratio analysis (SWARA) method based on the four main categories in agricultural sector such as crops, livestock, fishing and forestry and logging. In addition to the above, this study also ranks the risks based on agricultural supply chain related risk considering the important risk variables involved in the supply chain.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SWARA approach for ranking of agricultural supply chain risks of Odisha in India\",\"authors\":\"Debesh Mishra, S. Satapathy\",\"doi\":\"10.1504/IJIDS.2021.113597\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Disruptions in supply chain process could have negative effects on firms' performance and if the highly influential risks factors involved in disruptions of the supply chain are ranked and mitigated properly based on their importance, then those disruptions could be well managed. In order to assist the decision-makers and other managers to take appropriate decision, this study provides the ranking of the risks in agricultural supply chain of Odisha in India using the step-wise weight assessment ratio analysis (SWARA) method based on the four main categories in agricultural sector such as crops, livestock, fishing and forestry and logging. In addition to the above, this study also ranks the risks based on agricultural supply chain related risk considering the important risk variables involved in the supply chain.\",\"PeriodicalId\":303039,\"journal\":{\"name\":\"Int. J. Inf. Decis. Sci.\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Inf. Decis. Sci.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJIDS.2021.113597\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Inf. Decis. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJIDS.2021.113597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SWARA approach for ranking of agricultural supply chain risks of Odisha in India
Disruptions in supply chain process could have negative effects on firms' performance and if the highly influential risks factors involved in disruptions of the supply chain are ranked and mitigated properly based on their importance, then those disruptions could be well managed. In order to assist the decision-makers and other managers to take appropriate decision, this study provides the ranking of the risks in agricultural supply chain of Odisha in India using the step-wise weight assessment ratio analysis (SWARA) method based on the four main categories in agricultural sector such as crops, livestock, fishing and forestry and logging. In addition to the above, this study also ranks the risks based on agricultural supply chain related risk considering the important risk variables involved in the supply chain.